Greg Wayne

7.4k total citations · 2 hit papers
16 papers, 1.7k citations indexed

About

Greg Wayne is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Control and Systems Engineering. According to data from OpenAlex, Greg Wayne has authored 16 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 6 papers in Electrical and Electronic Engineering and 5 papers in Control and Systems Engineering. Recurrent topics in Greg Wayne's work include Advanced Memory and Neural Computing (6 papers), Neural dynamics and brain function (4 papers) and Robot Manipulation and Learning (4 papers). Greg Wayne is often cited by papers focused on Advanced Memory and Neural Computing (6 papers), Neural dynamics and brain function (4 papers) and Robot Manipulation and Learning (4 papers). Greg Wayne collaborates with scholars based in United Kingdom, United States and Switzerland. Greg Wayne's co-authors include Konrad P. Körding, Adam Marblestone, Ivo Danihelka, Alex Graves, Josh Merel, Matthew Botvinick, Tim Harley, Phil Blunsom, Koray Kavukcuoglu and Sergio Gómez Colmenarejo and has published in prestigious journals such as Nature, Science and Nature Communications.

In The Last Decade

Greg Wayne

16 papers receiving 1.6k citations

Hit Papers

Hybrid computing using a neural network with dynamic exte... 2016 2026 2019 2022 2016 2016 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Hybrid computing using a neural network with dynamic external memory
    2016 683 citations Alex Graves, Greg Wayne et al. Nature profile →
  2. Toward an Integration of Deep Learning and Neuroscience
    2016 353 citations Adam Marblestone, Greg Wayne et al. SHILAP Revista de lepidopterología profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Greg Wayne United Kingdom 13 810 495 339 302 170 16 1.7k
Ali A. Minai United States 25 547 0.7× 639 1.3× 343 1.0× 175 0.6× 109 0.6× 124 2.1k
David Powers Australia 26 849 1.0× 479 1.0× 500 1.5× 228 0.8× 85 0.5× 167 2.4k
Reza Ebrahimpour Iran 21 458 0.6× 618 1.2× 473 1.4× 285 0.9× 165 1.0× 139 2.0k
Humberto Sossa Mexico 24 712 0.9× 201 0.4× 795 2.3× 237 0.8× 220 1.3× 190 2.0k
Will Dabney United States 13 1.0k 1.3× 245 0.5× 265 0.8× 357 1.2× 315 1.9× 18 2.0k
Fei Chao China 25 722 0.9× 353 0.7× 647 1.9× 159 0.5× 511 3.0× 157 2.3k
Günther Palm Germany 23 675 0.8× 1.0k 2.1× 258 0.8× 256 0.8× 80 0.5× 113 2.1k
Il Memming Park United States 23 475 0.6× 658 1.3× 226 0.7× 421 1.4× 93 0.5× 78 2.1k
Zhongmin Wang China 25 424 0.5× 462 0.9× 659 1.9× 398 1.3× 255 1.5× 132 2.6k
Adam Santoro Canada 13 815 1.0× 567 1.1× 427 1.3× 251 0.8× 52 0.3× 19 1.8k

Countries citing papers authored by Greg Wayne

Since Specialization
Citations

This map shows the geographic impact of Greg Wayne's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Greg Wayne with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Greg Wayne more than expected).

Fields of papers citing papers by Greg Wayne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Greg Wayne. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Greg Wayne. The network helps show where Greg Wayne may publish in the future.

Co-authorship network of co-authors of Greg Wayne

This figure shows the co-authorship network connecting the top 25 collaborators of Greg Wayne. A scholar is included among the top collaborators of Greg Wayne based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Greg Wayne. Greg Wayne is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Aldarondo, Diego, Josh Merel, Jesse D. Marshall, et al.. (2024). A virtual rodent predicts the structure of neural activity across behaviours. Nature. 632(8025). 594–602. 20 indexed citations
2.
Kurth‐Nelson, Zeb, Timothy E.J. Behrens, Greg Wayne, et al.. (2023). Replay and compositional computation. Neuron. 111(4). 454–469. 28 indexed citations
3.
Merel, Josh, Saran Tunyasuvunakool, Arun Ahuja, et al.. (2020). Catch & Carry. ACM Transactions on Graphics. 39(4). 59 indexed citations
4.
Merel, Josh, Matthew Botvinick, & Greg Wayne. (2019). Hierarchical motor control in mammals and machines. Nature Communications. 10(1). 5489–5489. 140 indexed citations
5.
Merel, Josh, Arun Ahuja, Vu Pham, et al.. (2018). Hierarchical Visuomotor Control of Humanoids.. arXiv (Cornell University). 9 indexed citations
6.
Wang, Ziyu, Josh Merel, Scott Reed, et al.. (2017). Robust imitation of diverse behaviors. Neural Information Processing Systems. 30. 5326–5335. 25 indexed citations
7.
Marblestone, Adam, Greg Wayne, & Konrad P. Körding. (2016). Toward an Integration of Deep Learning and Neuroscience. SHILAP Revista de lepidopterología. 353 indexed citations breakdown →
8.
Marblestone, Adam, Greg Wayne, & Konrad P. Körding. (2016). Toward an Integration of Deep Learning and Neuroscience. Frontiers in Computational Neuroscience. 10. 94–94. 15 indexed citations
9.
Graves, Alex, Greg Wayne, Malcolm Reynolds, et al.. (2016). Hybrid computing using a neural network with dynamic external memory. Nature. 538(7626). 471–476. 683 indexed citations breakdown →
10.
Danihelka, Ivo, Greg Wayne, Benigno Uría, Nal Kalchbrenner, & Alex Graves. (2016). Associative Long Short-Term Memory. arXiv (Cornell University). 1986–1994. 52 indexed citations
11.
Rae, Jack W., Jonathan J. Hunt, Tim Harley, et al.. (2016). Scaling Memory-Augmented Neural Networks with Sparse Reads and Writes. arXiv (Cornell University). 29. 3628–3636. 25 indexed citations
12.
Heess, Nicolas, Greg Wayne, David Silver, et al.. (2015). Learning continuous control policies by stochastic value gradients. arXiv (Cornell University). 28. 2944–2952. 113 indexed citations
13.
Kennedy, Ann, Greg Wayne, Patrick Kaifosh, et al.. (2014). A temporal basis for predicting the sensory consequences of motor commands in an electric fish. Nature Neuroscience. 17(3). 416–422. 115 indexed citations
14.
Graves, Alex, Greg Wayne, & Ivo Danihelka. (2014). Neural Turing Machines. arXiv (Cornell University). 54 indexed citations
15.
Wayne, Greg & L. F. Abbott. (2014). Hierarchical Control Using Networks Trained with Higher-Level Forward Models. Neural Computation. 26(10). 2163–2193. 5 indexed citations
16.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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